G2TT
来源类型Articles
规范类型论文
DOI10.1371/journal.pone.0156743
ISSN1932-6203
Getting the Data Flowing: Lessons Learned from Existing Reporting Systems in the Forestry Sector in Indonesia for REDD+ MRV
Chazdon, R.L.; Guariguata, M.R.
发表日期2016
出处PLoS ONE 11(11): e0156743
出版年2016
语种英语
摘要

In the context of REDD+, Measurement, Reporting and Verification (MRV) is one way to manage forest change information. A national carbon and non-carbon database will be used in REDD+ to negotiate compensation schemes with the international community. Much of this data will be collected at the local level, thus a reporting system that can integrate these locally collected data into the national database is crucial. In this paper we compare and draw lessons from three existing local to national reporting systems that include the participation of local communities: 1) the government extension services, 2) the government owned forestry company, and 3) a private logging company in Indonesia, and provide recommendations for REDD+ reporting systems. The results suggest that the main desired conditions for effective data flow are: benefits to motivate local participation, based on contributions to reporting activities; simple data format and reporting procedures to allow local participation in the reporting process, and to support data aggregation at the national level; a facilitator to mediate data aggregation at the village level to ensure data consistency, completeness and accuracy; and a transparent and clear data flow. Under these conditions, continuous, accountable and consistent data flow from the local level will reach the national level where it can be fully utilized.

主题forests ; carbon ; databases ; data collection ; local government
区域Indonesia
URLhttps://www.cifor.org/library/6272/
来源智库Center for International Forestry Research (Indonesia)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/93444
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GB/T 7714
Chazdon, R.L.,Guariguata, M.R.. Getting the Data Flowing: Lessons Learned from Existing Reporting Systems in the Forestry Sector in Indonesia for REDD+ MRV. 2016.
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